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BYRNA TECHNOLOGIES INC.: stockholders equity

Stockholders equity for BYRNA TECHNOLOGIES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All BYRNA TECHNOLOGIES INC. financial histories

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2005-11-30 to 2025-11-30. The SEC response was captured on 2026-09-20.

Selected filing history

Stockholders equity in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-11-3065,757,000USD2026-02-0510-K · 0001437749-26-003206
At date2024-11-3054,369,000USD2026-02-0510-K · 0001437749-26-003206
At date2023-11-3042,319,000USD2026-02-0510-K · 0001437749-26-003206
At date2022-11-3045,994,000USD2025-02-0710-K · 0001437749-25-003081
At date2021-11-3066,098,000USD2024-02-1410-K · 0001437749-24-004158
At date2020-11-308,409,000USD2022-02-1110-K · 0001437749-22-003122
At date2020-11-298,409,000USD2023-02-0910-K · 0001437749-23-002880
At date2019-11-30-1,981,000USD2022-02-1110-K · 0001437749-22-003122
At date2018-11-30157,037USD2021-02-2610-K · 0001387131-21-002902
At date2017-11-30-326,623USD2020-05-1810-K · 0001062993-20-002511
At date2016-11-30-993,592USD2019-03-0110-K · 0001062993-19-001105
At date2015-11-30813,201USD2018-03-1510-K · 0001062993-18-001206
At date2014-11-3036,222USD2017-03-1310-K · 0001062993-17-001346
At date2013-11-301,953,480USD2016-02-2910-K · 0001062993-16-008106
At date2012-11-30-925,788USD2015-10-2010-K · 0001062993-15-005524
At date2011-11-30-1,184,952USD2014-03-1710-K · 0001062993-14-001394
At date2010-11-30-472,694USD2014-03-1710-K · 0001062993-14-001394
At date2009-11-30-575,202USD2014-03-1710-K · 0001062993-14-001394
At date2008-11-302,020,052USD2014-03-1710-K · 0001062993-14-001394
At date2007-11-305,179,082USD2014-03-1710-K · 0001062993-14-001394
At date2006-11-301,360,047USD2014-03-1710-K · 0001062993-14-001394
At date2005-11-30-23,979USD2014-03-1710-K · 0001062993-14-001394

Related financial histories

Inspect the source

Entity
BYRNA TECHNOLOGIES INC. / CIK 0001354866
Captured
2026-09-20T07:55:28.226Z
SEC response SHA-256
1038ceb4116270fa308c5d5c67892a7cc68aaca1335c19d70d93db7f374c33e5

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001354866.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))